Problem
Economists and researchers struggled to access and visualize complex economic datasets in an intuitive way. Traditional tools were either too complex or lacked real-time capabilities.
Approach
Built a modern web application combining Python backend for data processing with a responsive JavaScript frontend for interactive visualizations. Focused on clean API design and performance optimization.
Key Decisions
- Chose FastAPI for async performance with economic data streams
- Implemented D3.js for custom visualizations instead of charting libraries for flexibility
- PostgreSQL for time-series data with optimized indexing strategies
Results
Reduced data loading time by 70% compared to previous solutions. Users can now interact with datasets containing millions of data points without lag.